Staff Software Engineer

LineVision•Boston, MA

1d•Hybrid

About The Position

LineVision is seeking a Staff Software Engineer for its LineRate team to set the architecture and technical strategy for systems that transform large-scale time-series sensor data into ratings used by utility customers. The role spans the ratings generation library and its microservice, a customer-deployable product, weather modeling tools, and front-end visualizations. The Staff Software Engineer will establish technical direction across these systems, lead cross-team initiatives, influence roadmap decisions, and raise the technical capabilities of the team. The position is based at LineVision’s Boston, Massachusetts headquarters and is described as full-time, in person, with a hybrid schedule of 2–4 days per week. Participation in a compensated rotational on-call schedule is required as a condition of employment. In the first three months, the engineer is expected to learn how the core systems connect, make a meaningful contribution, build relationships with partner teams, and deliver a written assessment of architecture risks and opportunities. Within six months, they are expected to lead a multi-codebase or multi-team initiative, propose an improvement to time-series data storage or retrieval, and influence roadmap discussions. Within the first year, they should become a technical authority for at least one core codebase, lead a cross-functional initiative through delivery, coach engineers, and establish a team-wide practice or program. The role reports to the Senior Software Engineering Manager and works closely with Data Science, UI/UX, Product, and engineering peers. Compensation is a base salary of $160,000–$180,000, plus a 10% bonus and equity.

Requirements

Expert proficiency in Python and JavaScript/TypeScript, with strong experience in React.
Proven experience designing and evolving systems using at least one relational database and one NoSQL database.
Experience deploying and operating production systems on a major cloud platform.
Track record of setting architecture across the stack, from data storage through APIs to the user interface.
Experience leading technical initiatives across multiple engineers or teams.
Experience mentoring other engineers.

Nice To Haves

Experience with Kubernetes.
Experience with Rust.
Experience designing large-scale time-series data systems.
Experience working closely with data science or applied science teams to productionize research code.
Experience building engineering practices or programs that scaled beyond one’s own team.

Responsibilities

Develop and maintain technical architecture for the ratings generation library and microservice, customer-deployable product, weather modeling tools, and front-end visualizations.
Partner with Data Science to move research code into reliable, scalable production services and develop reusable frameworks to accelerate that process.
Work with UI/UX and Product to design APIs and data contracts.
Design storage and retrieval strategies for large time-series data sets, balancing cost, latency, and accuracy.
Lead complex, multi-team technical initiatives from scoping through delivery and guide teams through execution.
Influence roadmap priorities with Product and Engineering leadership, weighing customer benefit, implementation time, and long-term technical cost.
Coach engineers through design reviews, code reviews, and pairing, and build programs that develop the team’s technical capabilities.
Participate in a compensated rotational on-call schedule.
Within the first three months, learn how the core systems connect, contribute to at least one, build working relationships with partner teams, and deliver a written architecture assessment.
Within the first six months, lead an initiative spanning multiple codebases or teams, propose and drive a time-series storage or retrieval improvement, and contribute a technical perspective to roadmap decisions.
Within the first year, become a recognized technical authority for at least one core codebase, lead a cross-functional initiative through delivery, coach multiple engineers, and establish a team-wide practice or program.